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2009
IEEE

Spatio-Temporal Relationship Match: Video Structure Comparison for Recognition of Complex Human Activities

12 years 6 months ago
Spatio-Temporal Relationship Match: Video Structure Comparison for Recognition of Complex Human Activities
Human activity recognition is a challenging task, especially when its background is unknown or changing, and when scale or illumination differs in each video. Approaches utilizing spatio-temporal local features have proved that they are able to cope with such difficulties, but they mainly focused on classifying short videos of simple periodic actions. In this paper, we present a new activity recognition methodology that overcomes the limitations of the previous approaches using local features. We introduce a novel matching, spatio-temporal relationship match, which is designed to measure structural similarity between sets of features extracted from two videos. Our match hierarchically considers spatio-temporal relationships among feature points, thereby enabling detection and localization of complex non-periodic activities. In contrast to previous approaches to ‘classify’ videos, our approach is designed to ‘detect and localize’ all occurring activities from co...
M. S. Ryoo1; J. K. Aggarwal
Added 13 Jul 2009
Updated 10 Jan 2010
Type Conference
Year 2009
Where ICCV
Authors M. S. Ryoo1; J. K. Aggarwal
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